Medical Genetics, Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy.
Department of Medicine and Health Sciences "V. Tiberio," University of Molise, Campobasso, Italy.
Semin Thromb Hemost. 2018 Sep;44(6):509-516. doi: 10.1055/s-0038-1660816. Epub 2018 Jun 25.
Over the past few decades, important knowledge on why inhibitors develop and better information about significant risk factors have become available. A series of both genetic and nongenetic factors are recognized and clinical score systems were proposed to quantify the risk for each patient. In addition, modulation of the immunological response was acknowledged to play a pivotal role in the occurrence of inhibitors. However, with the exception of mutation testing in severe hemophilia B patients, no single risk factor or clinical score is currently utilized in clinical practice. "Omics" technologies are large-scale hypothesis-generating approaches, which provide the tools to study issues contributing to a complex and multifactorial phenomenon, such as inhibitor development. Newer cutting edge technologies may enable a more accurate estimation of the personal risk profile and provide a reliable tool to accurately measure the risk periodically, thereby enabling strategies to foresee and prevent inhibitor formation.
在过去的几十年中,人们对抑制剂产生的原因有了更深入的了解,并且对重要的风险因素也有了更好的认识。目前已经认识到一系列遗传和非遗传因素,并提出了临床评分系统来量化每个患者的风险。此外,人们认识到免疫反应的调节在抑制剂的发生中起着关键作用。然而,除了在严重血友病 B 患者中进行突变检测外,目前在临床实践中没有利用单一的风险因素或临床评分。“组学”技术是一种大规模的假设生成方法,为研究导致复杂多因素现象(如抑制剂产生)的问题提供了工具。更新的前沿技术可能能够更准确地估计个人风险概况,并提供可靠的工具定期准确地衡量风险,从而能够制定预见和预防抑制剂形成的策略。